Reducing Information Systems with Uncertain Real Value Attributes

Marzena Kryszkiewicz , Henryk Rybiński

Abstract

Information systems with real value multivalued attributes are considered. It is also assumed that some of the values describing objects in the system are uncertain. A procedure for quantization of sets of real numbers is presented. It transforms the information system into a reduced system, where the sets of reals are represented by ranges. The method generates ranges directly from the source table. As a result a set of optimal decision rules is provided.
Author Marzena Kryszkiewicz (FEIT / IN)
Marzena Kryszkiewicz,,
- The Institute of Computer Science
, Henryk Rybiński (FEIT / IN)
Henryk Rybiński,,
- The Institute of Computer Science
Pages334-348
Book Pons Olga, Vila Maria Amparo, Kacprzyk Janusz (eds.): Knowledge Management in Fuzzy Databases, Studies in Fuzziness and Soft Computing, vol. 39, 2000, Springer-Verlag Berlin Heidelberg, ISBN 978-3-7908-2467-4, [978-3-7908-1865-9], 385 p., DOI:10.1007/978-3-7908-1865-9
Keywords in EnglishMultivalued information systems, rough sets, quantization, uncertainty, decision rules
ASJC Classification2605 Computational Mathematics; 1701 Computer Science (miscellaneous)
DOIDOI:10.1007/978-3-7908-1865-9_20
URL http://link.springer.com/chapter/10.1007/978-3-7908-1865-9_20
Languageen angielski
Score (nominal)3
Publication indicators GS Citations = 18.0; Scopus SNIP (Source Normalised Impact per Paper): 2006 = 0.192
Citation count*18 (2020-09-17)
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